Overview

Dataset statistics

Number of variables19
Number of observations4116
Missing cells134
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory611.1 KiB
Average record size in memory152.0 B

Variable types

Categorical1
Numeric18

Alerts

SUBDIVISION is uniformly distributedUniform
JAN has 608 (14.8%) zerosZeros
FEB has 645 (15.7%) zerosZeros
MAR has 452 (11.0%) zerosZeros
APR has 219 (5.3%) zerosZeros
MAY has 82 (2.0%) zerosZeros
OCT has 85 (2.1%) zerosZeros
NOV has 651 (15.8%) zerosZeros
DEC has 884 (21.5%) zerosZeros
Jan-Feb has 238 (5.8%) zerosZeros

Reproduction

Analysis started2024-04-01 12:46:47.941325
Analysis finished2024-04-01 12:47:59.414982
Duration1 minute and 11.47 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

SUBDIVISION
Categorical

UNIFORM 

Distinct36
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size32.3 KiB
WEST MADHYA PRADESH
 
115
BIHAR
 
115
HIMACHAL PRADESH
 
115
PUNJAB
 
115
HARYANA DELHI & CHANDIGARH
 
115
Other values (31)
3541 

Length

Max length34
Median length19
Mean length15.427114
Min length5

Characters and Unicode

Total characters63498
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowANDAMAN & NICOBAR ISLANDS
2nd rowANDAMAN & NICOBAR ISLANDS
3rd rowANDAMAN & NICOBAR ISLANDS
4th rowANDAMAN & NICOBAR ISLANDS
5th rowANDAMAN & NICOBAR ISLANDS

Common Values

ValueCountFrequency (%)
WEST MADHYA PRADESH 115
 
2.8%
BIHAR 115
 
2.8%
HIMACHAL PRADESH 115
 
2.8%
PUNJAB 115
 
2.8%
HARYANA DELHI & CHANDIGARH 115
 
2.8%
UTTARAKHAND 115
 
2.8%
WEST UTTAR PRADESH 115
 
2.8%
EAST UTTAR PRADESH 115
 
2.8%
JHARKHAND 115
 
2.8%
SOUTH INTERIOR KARNATAKA 115
 
2.8%
Other values (26) 2966
72.1%

Length

2024-04-01T18:17:59.743953image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
800
 
8.5%
pradesh 787
 
8.4%
west 575
 
6.1%
madhya 345
 
3.7%
karnataka 345
 
3.7%
east 345
 
3.7%
uttar 230
 
2.5%
interior 230
 
2.5%
rajasthan 230
 
2.5%
bengal 230
 
2.5%
Other values (45) 5256
56.1%

Most occurring characters

ValueCountFrequency (%)
A 12896
20.3%
5257
 
8.3%
R 4674
 
7.4%
H 4448
 
7.0%
T 4255
 
6.7%
S 3996
 
6.3%
N 3527
 
5.6%
E 3315
 
5.2%
I 2635
 
4.1%
D 2386
 
3.8%
Other values (15) 16109
25.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 63498
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 12896
20.3%
5257
 
8.3%
R 4674
 
7.4%
H 4448
 
7.0%
T 4255
 
6.7%
S 3996
 
6.3%
N 3527
 
5.6%
E 3315
 
5.2%
I 2635
 
4.1%
D 2386
 
3.8%
Other values (15) 16109
25.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 63498
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 12896
20.3%
5257
 
8.3%
R 4674
 
7.4%
H 4448
 
7.0%
T 4255
 
6.7%
S 3996
 
6.3%
N 3527
 
5.6%
E 3315
 
5.2%
I 2635
 
4.1%
D 2386
 
3.8%
Other values (15) 16109
25.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 63498
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 12896
20.3%
5257
 
8.3%
R 4674
 
7.4%
H 4448
 
7.0%
T 4255
 
6.7%
S 3996
 
6.3%
N 3527
 
5.6%
E 3315
 
5.2%
I 2635
 
4.1%
D 2386
 
3.8%
Other values (15) 16109
25.4%

YEAR
Real number (ℝ)

Distinct115
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1958.2187
Minimum1901
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:00.037052image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1901
5-th percentile1906
Q11930
median1958
Q31987
95-th percentile2010
Maximum2015
Range114
Interquartile range (IQR)57

Descriptive statistics

Standard deviation33.140898
Coefficient of variation (CV)0.016924003
Kurtosis-1.1981968
Mean1958.2187
Median Absolute Deviation (MAD)29
Skewness-0.0057225214
Sum8060028
Variance1098.3191
MonotonicityNot monotonic
2024-04-01T18:18:00.351767image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1963 36
 
0.9%
2002 36
 
0.9%
1976 36
 
0.9%
1975 36
 
0.9%
1974 36
 
0.9%
1973 36
 
0.9%
1972 36
 
0.9%
1971 36
 
0.9%
1970 36
 
0.9%
1969 36
 
0.9%
Other values (105) 3756
91.3%
ValueCountFrequency (%)
1901 35
0.9%
1902 35
0.9%
1903 35
0.9%
1904 35
0.9%
1905 35
0.9%
1906 35
0.9%
1907 35
0.9%
1908 35
0.9%
1909 34
0.8%
1910 35
0.9%
ValueCountFrequency (%)
2015 36
0.9%
2014 36
0.9%
2013 36
0.9%
2012 36
0.9%
2011 36
0.9%
2010 36
0.9%
2009 36
0.9%
2008 36
0.9%
2007 36
0.9%
2006 36
0.9%

JAN
Real number (ℝ)

ZEROS 

Distinct802
Distinct (%)19.5%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean18.95732
Minimum0
Maximum583.7
Zeros608
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:00.656058image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median6
Q322.2
95-th percentile83.035
Maximum583.7
Range583.7
Interquartile range (IQR)21.6

Descriptive statistics

Standard deviation33.585371
Coefficient of variation (CV)1.7716308
Kurtosis34.839815
Mean18.95732
Median Absolute Deviation (MAD)6
Skewness4.3086818
Sum77952.5
Variance1127.9772
MonotonicityNot monotonic
2024-04-01T18:18:00.946153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 608
 
14.8%
0.1 133
 
3.2%
0.2 101
 
2.5%
0.3 62
 
1.5%
0.4 56
 
1.4%
0.5 50
 
1.2%
0.7 44
 
1.1%
1.2 39
 
0.9%
1.3 39
 
0.9%
1 38
 
0.9%
Other values (792) 2942
71.5%
ValueCountFrequency (%)
0 608
14.8%
0.1 133
 
3.2%
0.2 101
 
2.5%
0.3 62
 
1.5%
0.4 56
 
1.4%
0.5 50
 
1.2%
0.6 37
 
0.9%
0.7 44
 
1.1%
0.8 38
 
0.9%
0.9 32
 
0.8%
ValueCountFrequency (%)
583.7 1
< 0.1%
367.8 1
< 0.1%
344.8 1
< 0.1%
308.4 1
< 0.1%
296 1
< 0.1%
276.9 1
< 0.1%
265.9 1
< 0.1%
262.8 1
< 0.1%
246.3 1
< 0.1%
245.5 1
< 0.1%

FEB
Real number (ℝ)

ZEROS 

Distinct898
Distinct (%)21.8%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean21.805325
Minimum0
Maximum403.5
Zeros645
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:01.265454image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.6
median6.7
Q326.8
95-th percentile96.72
Maximum403.5
Range403.5
Interquartile range (IQR)26.2

Descriptive statistics

Standard deviation35.909488
Coefficient of variation (CV)1.646822
Kurtosis12.32666
Mean21.805325
Median Absolute Deviation (MAD)6.7
Skewness2.9810027
Sum89685.3
Variance1289.4913
MonotonicityNot monotonic
2024-04-01T18:18:01.580432image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 645
 
15.7%
0.1 134
 
3.3%
0.2 84
 
2.0%
0.5 59
 
1.4%
0.4 53
 
1.3%
0.7 48
 
1.2%
0.3 47
 
1.1%
0.6 37
 
0.9%
1.1 36
 
0.9%
1.5 34
 
0.8%
Other values (888) 2936
71.3%
ValueCountFrequency (%)
0 645
15.7%
0.1 134
 
3.3%
0.2 84
 
2.0%
0.3 47
 
1.1%
0.4 53
 
1.3%
0.5 59
 
1.4%
0.6 37
 
0.9%
0.7 48
 
1.2%
0.8 32
 
0.8%
0.9 25
 
0.6%
ValueCountFrequency (%)
403.5 1
< 0.1%
306.3 1
< 0.1%
297.2 1
< 0.1%
271.8 1
< 0.1%
267.2 1
< 0.1%
250.6 1
< 0.1%
243.1 1
< 0.1%
228.9 1
< 0.1%
222.9 1
< 0.1%
221 1
< 0.1%

MAR
Real number (ℝ)

ZEROS 

Distinct978
Distinct (%)23.8%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean27.359197
Minimum0
Maximum605.6
Zeros452
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:01.882195image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7.8
Q331.3
95-th percentile126.3
Maximum605.6
Range605.6
Interquartile range (IQR)30.3

Descriptive statistics

Standard deviation46.959424
Coefficient of variation (CV)1.7164036
Kurtosis15.213621
Mean27.359197
Median Absolute Deviation (MAD)7.7
Skewness3.2094297
Sum112446.3
Variance2205.1875
MonotonicityNot monotonic
2024-04-01T18:18:02.182667image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 452
 
11.0%
0.1 141
 
3.4%
0.2 90
 
2.2%
0.6 65
 
1.6%
0.3 52
 
1.3%
0.5 50
 
1.2%
0.4 48
 
1.2%
0.7 44
 
1.1%
0.8 38
 
0.9%
0.9 34
 
0.8%
Other values (968) 3096
75.2%
ValueCountFrequency (%)
0 452
11.0%
0.1 141
 
3.4%
0.2 90
 
2.2%
0.3 52
 
1.3%
0.4 48
 
1.2%
0.5 50
 
1.2%
0.6 65
 
1.6%
0.7 44
 
1.1%
0.8 38
 
0.9%
0.9 34
 
0.8%
ValueCountFrequency (%)
605.6 1
< 0.1%
382 1
< 0.1%
381.8 1
< 0.1%
353.9 1
< 0.1%
341.4 1
< 0.1%
340.5 1
< 0.1%
318.8 1
< 0.1%
309.9 1
< 0.1%
309.8 1
< 0.1%
306.5 1
< 0.1%

APR
Real number (ℝ)

ZEROS 

Distinct1234
Distinct (%)30.0%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean43.127432
Minimum0
Maximum595.1
Zeros219
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:02.471590image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median15.7
Q349.95
95-th percentile184.89
Maximum595.1
Range595.1
Interquartile range (IQR)46.95

Descriptive statistics

Standard deviation67.831168
Coefficient of variation (CV)1.572808
Kurtosis10.237233
Mean43.127432
Median Absolute Deviation (MAD)14.9
Skewness2.8297277
Sum177340
Variance4601.0673
MonotonicityNot monotonic
2024-04-01T18:18:02.784969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 219
 
5.3%
0.1 79
 
1.9%
0.2 68
 
1.7%
0.7 43
 
1.0%
0.4 42
 
1.0%
0.3 40
 
1.0%
0.6 34
 
0.8%
0.5 34
 
0.8%
1 31
 
0.8%
1.1 27
 
0.7%
Other values (1224) 3495
84.9%
ValueCountFrequency (%)
0 219
5.3%
0.1 79
 
1.9%
0.2 68
 
1.7%
0.3 40
 
1.0%
0.4 42
 
1.0%
0.5 34
 
0.8%
0.6 34
 
0.8%
0.7 43
 
1.0%
0.8 25
 
0.6%
0.9 20
 
0.5%
ValueCountFrequency (%)
595.1 1
< 0.1%
565.4 1
< 0.1%
560.2 1
< 0.1%
502.7 1
< 0.1%
492.3 1
< 0.1%
466.9 1
< 0.1%
460.2 1
< 0.1%
457.1 1
< 0.1%
441.1 1
< 0.1%
441 1
< 0.1%

MAY
Real number (ℝ)

ZEROS 

Distinct1731
Distinct (%)42.1%
Missing3
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean85.745417
Minimum0
Maximum1168.6
Zeros82
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:03.085537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q18.6
median36.6
Q397.2
95-th percentile352.28
Maximum1168.6
Range1168.6
Interquartile range (IQR)88.6

Descriptive statistics

Standard deviation123.2349
Coefficient of variation (CV)1.4372185
Kurtosis7.0140469
Mean85.745417
Median Absolute Deviation (MAD)32.2
Skewness2.3899824
Sum352670.9
Variance15186.841
MonotonicityNot monotonic
2024-04-01T18:18:03.398346image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
2.0%
0.1 30
 
0.7%
0.3 28
 
0.7%
0.2 28
 
0.7%
0.7 28
 
0.7%
1.3 21
 
0.5%
0.4 20
 
0.5%
0.9 19
 
0.5%
1.1 18
 
0.4%
2.1 17
 
0.4%
Other values (1721) 3822
92.9%
ValueCountFrequency (%)
0 82
2.0%
0.1 30
 
0.7%
0.2 28
 
0.7%
0.3 28
 
0.7%
0.4 20
 
0.5%
0.5 15
 
0.4%
0.6 17
 
0.4%
0.7 28
 
0.7%
0.8 16
 
0.4%
0.9 19
 
0.5%
ValueCountFrequency (%)
1168.6 1
< 0.1%
973.1 1
< 0.1%
861.1 1
< 0.1%
743 1
< 0.1%
738.8 1
< 0.1%
729.3 1
< 0.1%
728.4 1
< 0.1%
726.8 1
< 0.1%
705.3 1
< 0.1%
699.5 1
< 0.1%

JUN
Real number (ℝ)

Distinct2722
Distinct (%)66.2%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean230.23444
Minimum0.4
Maximum1609.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:03.699455image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile21.45
Q170.35
median138.7
Q3305.15
95-th percentile746.8
Maximum1609.9
Range1609.5
Interquartile range (IQR)234.8

Descriptive statistics

Standard deviation234.71076
Coefficient of variation (CV)1.0194424
Kurtosis2.9444235
Mean230.23444
Median Absolute Deviation (MAD)85.3
Skewness1.7390808
Sum946493.8
Variance55089.14
MonotonicityNot monotonic
2024-04-01T18:18:04.158272image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.6 6
 
0.1%
92.2 6
 
0.1%
163.2 6
 
0.1%
129.8 6
 
0.1%
75.6 6
 
0.1%
72.4 6
 
0.1%
50.6 6
 
0.1%
63.1 6
 
0.1%
125.1 6
 
0.1%
48.6 6
 
0.1%
Other values (2712) 4051
98.4%
ValueCountFrequency (%)
0.4 1
< 0.1%
0.6 1
< 0.1%
1.1 1
< 0.1%
1.2 1
< 0.1%
1.4 1
< 0.1%
1.6 1
< 0.1%
2 1
< 0.1%
2.1 1
< 0.1%
2.3 1
< 0.1%
2.6 1
< 0.1%
ValueCountFrequency (%)
1609.9 1
< 0.1%
1511.3 1
< 0.1%
1432.8 1
< 0.1%
1361.6 1
< 0.1%
1327.8 1
< 0.1%
1233.2 1
< 0.1%
1227 1
< 0.1%
1221.1 1
< 0.1%
1212.6 1
< 0.1%
1193.3 1
< 0.1%

JUL
Real number (ℝ)

Distinct3050
Distinct (%)74.2%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean347.21433
Minimum0
Maximum2362.8
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:04.470852image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69.48
Q1175.6
median284.8
Q3418.4
95-th percentile941.94
Maximum2362.8
Range2362.8
Interquartile range (IQR)242.8

Descriptive statistics

Standard deviation269.53967
Coefficient of variation (CV)0.77629188
Kurtosis5.7361224
Mean347.21433
Median Absolute Deviation (MAD)119.9
Skewness2.1008871
Sum1426703.7
Variance72651.632
MonotonicityNot monotonic
2024-04-01T18:18:04.759221image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
170.2 5
 
0.1%
321.3 5
 
0.1%
338.8 5
 
0.1%
115 5
 
0.1%
215.9 5
 
0.1%
248.6 5
 
0.1%
268.8 4
 
0.1%
318.7 4
 
0.1%
215.4 4
 
0.1%
194.8 4
 
0.1%
Other values (3040) 4063
98.7%
(Missing) 7
 
0.2%
ValueCountFrequency (%)
0 1
< 0.1%
2.4 1
< 0.1%
3.2 1
< 0.1%
5.1 1
< 0.1%
7.7 1
< 0.1%
8 1
< 0.1%
11.8 1
< 0.1%
12.6 1
< 0.1%
13.5 1
< 0.1%
15.9 1
< 0.1%
ValueCountFrequency (%)
2362.8 1
< 0.1%
1904.9 1
< 0.1%
1884.9 1
< 0.1%
1867.2 1
< 0.1%
1778.9 1
< 0.1%
1748.2 1
< 0.1%
1727 1
< 0.1%
1643.9 1
< 0.1%
1630.1 1
< 0.1%
1627.2 1
< 0.1%

AUG
Real number (ℝ)

Distinct2913
Distinct (%)70.8%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean290.2635
Minimum0
Maximum1664.6
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:05.046743image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile63.6
Q1155.975
median259.4
Q3377.8
95-th percentile631.4
Maximum1664.6
Range1664.6
Interquartile range (IQR)221.825

Descriptive statistics

Standard deviation188.77048
Coefficient of variation (CV)0.65034177
Kurtosis4.9422689
Mean290.2635
Median Absolute Deviation (MAD)109
Skewness1.6552052
Sum1193563.5
Variance35634.293
MonotonicityNot monotonic
2024-04-01T18:18:05.348293image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226.7 6
 
0.1%
152.2 5
 
0.1%
380.9 5
 
0.1%
290.9 5
 
0.1%
118.1 5
 
0.1%
356.4 5
 
0.1%
175.6 5
 
0.1%
183.2 5
 
0.1%
312.4 5
 
0.1%
235.5 5
 
0.1%
Other values (2903) 4061
98.7%
ValueCountFrequency (%)
0 1
< 0.1%
0.6 1
< 0.1%
1.1 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
6.8 2
< 0.1%
9.4 1
< 0.1%
10.6 1
< 0.1%
12.3 2
< 0.1%
13.4 2
< 0.1%
ValueCountFrequency (%)
1664.6 1
< 0.1%
1579.1 1
< 0.1%
1414.7 1
< 0.1%
1405.9 1
< 0.1%
1347.2 1
< 0.1%
1331.2 1
< 0.1%
1299.8 1
< 0.1%
1247.4 1
< 0.1%
1231.8 1
< 0.1%
1201.9 1
< 0.1%

SEP
Real number (ℝ)

Distinct2632
Distinct (%)64.0%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean197.36192
Minimum0.1
Maximum1222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:05.769168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile24.4
Q1100.525
median173.9
Q3265.8
95-th percentile455.875
Maximum1222
Range1221.9
Interquartile range (IQR)165.275

Descriptive statistics

Standard deviation135.40834
Coefficient of variation (CV)0.68609154
Kurtosis3.1585847
Mean197.36192
Median Absolute Deviation (MAD)80.85
Skewness1.3133653
Sum811157.5
Variance18335.42
MonotonicityNot monotonic
2024-04-01T18:18:07.595294image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.8 7
 
0.2%
131.7 6
 
0.1%
88 6
 
0.1%
123.9 5
 
0.1%
139.6 5
 
0.1%
113.6 5
 
0.1%
100.4 5
 
0.1%
146.7 5
 
0.1%
230.5 5
 
0.1%
288.1 5
 
0.1%
Other values (2622) 4056
98.5%
(Missing) 6
 
0.1%
ValueCountFrequency (%)
0.1 1
< 0.1%
0.2 1
< 0.1%
0.5 2
< 0.1%
0.6 2
< 0.1%
0.8 2
< 0.1%
1 2
< 0.1%
1.3 1
< 0.1%
1.6 1
< 0.1%
1.7 1
< 0.1%
1.8 1
< 0.1%
ValueCountFrequency (%)
1222 1
< 0.1%
1108.9 1
< 0.1%
1034.8 1
< 0.1%
877.3 1
< 0.1%
868.9 1
< 0.1%
820.4 1
< 0.1%
799.9 1
< 0.1%
791.4 1
< 0.1%
788.8 1
< 0.1%
782.3 1
< 0.1%

OCT
Real number (ℝ)

ZEROS 

Distinct1939
Distinct (%)47.2%
Missing7
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean95.507009
Minimum0
Maximum948.3
Zeros85
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:09.181566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q114.6
median65.2
Q3148.4
95-th percentile294.7
Maximum948.3
Range948.3
Interquartile range (IQR)133.8

Descriptive statistics

Standard deviation99.519134
Coefficient of variation (CV)1.0420087
Kurtosis3.1788208
Mean95.507009
Median Absolute Deviation (MAD)57.9
Skewness1.4987117
Sum392438.3
Variance9904.058
MonotonicityNot monotonic
2024-04-01T18:18:10.444947image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 85
 
2.1%
0.1 42
 
1.0%
0.2 41
 
1.0%
0.4 28
 
0.7%
0.3 25
 
0.6%
1.1 23
 
0.6%
0.5 21
 
0.5%
1.4 19
 
0.5%
0.6 17
 
0.4%
1.5 17
 
0.4%
Other values (1929) 3791
92.1%
ValueCountFrequency (%)
0 85
2.1%
0.1 42
1.0%
0.2 41
1.0%
0.3 25
 
0.6%
0.4 28
 
0.7%
0.5 21
 
0.5%
0.6 17
 
0.4%
0.7 14
 
0.3%
0.8 11
 
0.3%
0.9 17
 
0.4%
ValueCountFrequency (%)
948.3 1
< 0.1%
669.4 1
< 0.1%
633.5 1
< 0.1%
618.6 1
< 0.1%
567.9 1
< 0.1%
543.2 1
< 0.1%
537.2 1
< 0.1%
527.2 1
< 0.1%
513.5 1
< 0.1%
511.7 1
< 0.1%

NOV
Real number (ℝ)

ZEROS 

Distinct1239
Distinct (%)30.2%
Missing11
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean39.866163
Minimum0
Maximum648.9
Zeros651
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:10.733786image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.7
median9.5
Q346.1
95-th percentile191.56
Maximum648.9
Range648.9
Interquartile range (IQR)45.4

Descriptive statistics

Standard deviation68.68541
Coefficient of variation (CV)1.7228999
Kurtosis9.7031622
Mean39.866163
Median Absolute Deviation (MAD)9.5
Skewness2.7857932
Sum163650.6
Variance4717.6855
MonotonicityNot monotonic
2024-04-01T18:18:11.023141image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 651
 
15.8%
0.1 114
 
2.8%
0.2 73
 
1.8%
0.3 65
 
1.6%
0.4 45
 
1.1%
0.7 39
 
0.9%
1 36
 
0.9%
0.6 36
 
0.9%
0.5 35
 
0.9%
0.8 29
 
0.7%
Other values (1229) 2982
72.4%
ValueCountFrequency (%)
0 651
15.8%
0.1 114
 
2.8%
0.2 73
 
1.8%
0.3 65
 
1.6%
0.4 45
 
1.1%
0.5 35
 
0.9%
0.6 36
 
0.9%
0.7 39
 
0.9%
0.8 29
 
0.7%
0.9 29
 
0.7%
ValueCountFrequency (%)
648.9 1
< 0.1%
583 1
< 0.1%
558.2 1
< 0.1%
541 1
< 0.1%
452.9 1
< 0.1%
418.4 1
< 0.1%
416.7 1
< 0.1%
413.9 1
< 0.1%
404.9 1
< 0.1%
383.8 1
< 0.1%

DEC
Real number (ℝ)

ZEROS 

Distinct801
Distinct (%)19.5%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.87058
Minimum0
Maximum617.5
Zeros884
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:11.328502image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.1
median3
Q317.5
95-th percentile89.15
Maximum617.5
Range617.5
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation42.369611
Coefficient of variation (CV)2.2452734
Kurtosis41.505321
Mean18.87058
Median Absolute Deviation (MAD)3
Skewness5.2354425
Sum77482.6
Variance1795.184
MonotonicityNot monotonic
2024-04-01T18:18:11.617051image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 884
 
21.5%
0.1 179
 
4.3%
0.2 111
 
2.7%
0.3 97
 
2.4%
0.5 64
 
1.6%
0.4 63
 
1.5%
0.6 59
 
1.4%
0.9 38
 
0.9%
0.8 38
 
0.9%
1.1 36
 
0.9%
Other values (791) 2537
61.6%
ValueCountFrequency (%)
0 884
21.5%
0.1 179
 
4.3%
0.2 111
 
2.7%
0.3 97
 
2.4%
0.4 63
 
1.5%
0.5 64
 
1.6%
0.6 59
 
1.4%
0.7 34
 
0.8%
0.8 38
 
0.9%
0.9 38
 
0.9%
ValueCountFrequency (%)
617.5 1
< 0.1%
560.7 1
< 0.1%
500.7 1
< 0.1%
500.4 1
< 0.1%
445.2 1
< 0.1%
434.8 1
< 0.1%
384.9 1
< 0.1%
359.6 1
< 0.1%
344.7 1
< 0.1%
334.1 1
< 0.1%

ANNUAL
Real number (ℝ)

Distinct3712
Distinct (%)90.8%
Missing26
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean1411.0089
Minimum62.3
Maximum6331.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:12.099888image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum62.3
5-th percentile419.195
Q1804.5
median1121.3
Q31644.775
95-th percentile3270.975
Maximum6331.1
Range6268.8
Interquartile range (IQR)840.275

Descriptive statistics

Standard deviation903.84656
Coefficient of variation (CV)0.64056759
Kurtosis1.392618
Mean1411.0089
Median Absolute Deviation (MAD)379.1
Skewness1.3195216
Sum5771026.4
Variance816938.61
MonotonicityNot monotonic
2024-04-01T18:18:12.498282image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1024.6 4
 
0.1%
790.5 4
 
0.1%
770.3 4
 
0.1%
1114.2 3
 
0.1%
690.1 3
 
0.1%
1245 3
 
0.1%
842.3 3
 
0.1%
1240.4 3
 
0.1%
1061.6 3
 
0.1%
1350.4 3
 
0.1%
Other values (3702) 4057
98.6%
(Missing) 26
 
0.6%
ValueCountFrequency (%)
62.3 1
< 0.1%
92.4 1
< 0.1%
92.7 1
< 0.1%
114.4 1
< 0.1%
117.6 1
< 0.1%
119 1
< 0.1%
137.4 1
< 0.1%
138.8 1
< 0.1%
140.4 1
< 0.1%
142.2 1
< 0.1%
ValueCountFrequency (%)
6331.1 1
< 0.1%
6129 1
< 0.1%
5691.4 1
< 0.1%
5553.9 1
< 0.1%
5486.3 1
< 0.1%
5272.7 1
< 0.1%
5253.2 1
< 0.1%
5063.5 1
< 0.1%
4959.3 1
< 0.1%
4874.7 1
< 0.1%

Jan-Feb
Real number (ℝ)

ZEROS 

Distinct1220
Distinct (%)29.7%
Missing6
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean40.747786
Minimum0
Maximum699.5
Zeros238
Zeros (%)5.8%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:13.084255image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.1
median19.2
Q350.375
95-th percentile165.9
Maximum699.5
Range699.5
Interquartile range (IQR)46.275

Descriptive statistics

Standard deviation59.308277
Coefficient of variation (CV)1.4554969
Kurtosis13.435125
Mean40.747786
Median Absolute Deviation (MAD)17.7
Skewness2.9858258
Sum167473.4
Variance3517.4717
MonotonicityNot monotonic
2024-04-01T18:18:13.442551image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 238
 
5.8%
0.1 80
 
1.9%
0.2 52
 
1.3%
0.3 38
 
0.9%
0.4 32
 
0.8%
0.9 27
 
0.7%
0.5 27
 
0.7%
1 27
 
0.7%
0.7 26
 
0.6%
0.8 21
 
0.5%
Other values (1210) 3542
86.1%
ValueCountFrequency (%)
0 238
5.8%
0.1 80
 
1.9%
0.2 52
 
1.3%
0.3 38
 
0.9%
0.4 32
 
0.8%
0.5 27
 
0.7%
0.6 13
 
0.3%
0.7 26
 
0.6%
0.8 21
 
0.5%
0.9 27
 
0.7%
ValueCountFrequency (%)
699.5 1
< 0.1%
584.5 1
< 0.1%
559 1
< 0.1%
468.3 1
< 0.1%
463.9 1
< 0.1%
397.1 1
< 0.1%
379.2 1
< 0.1%
377.3 1
< 0.1%
372.2 1
< 0.1%
370.7 1
< 0.1%

Mar-May
Real number (ℝ)

Distinct2262
Distinct (%)55.1%
Missing9
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean155.90175
Minimum0
Maximum1745.8
Zeros29
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:13.667938image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q124.05
median74.8
Q3196.95
95-th percentile605.78
Maximum1745.8
Range1745.8
Interquartile range (IQR)172.9

Descriptive statistics

Standard deviation201.31697
Coefficient of variation (CV)1.2913066
Kurtosis5.0997388
Mean155.90175
Median Absolute Deviation (MAD)61.3
Skewness2.1156809
Sum640288.5
Variance40528.52
MonotonicityNot monotonic
2024-04-01T18:18:13.865394image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
0.7%
0.1 13
 
0.3%
8.3 11
 
0.3%
0.3 11
 
0.3%
11.5 10
 
0.2%
2.9 10
 
0.2%
0.2 10
 
0.2%
2.7 10
 
0.2%
5.6 9
 
0.2%
10 9
 
0.2%
Other values (2252) 3985
96.8%
ValueCountFrequency (%)
0 29
0.7%
0.1 13
0.3%
0.2 10
 
0.2%
0.3 11
 
0.3%
0.4 7
 
0.2%
0.5 4
 
0.1%
0.6 6
 
0.1%
0.7 2
 
< 0.1%
0.8 5
 
0.1%
0.9 6
 
0.1%
ValueCountFrequency (%)
1745.8 1
< 0.1%
1291.5 1
< 0.1%
1265.4 1
< 0.1%
1232.4 1
< 0.1%
1196.9 1
< 0.1%
1187.3 1
< 0.1%
1177.9 1
< 0.1%
1169.1 1
< 0.1%
1143.9 1
< 0.1%
1136.3 1
< 0.1%

Jun-Sep
Real number (ℝ)

Distinct3683
Distinct (%)89.7%
Missing10
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean1064.7248
Minimum57.4
Maximum4536.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:14.034492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum57.4
5-th percentile300.25
Q1573.85
median881.1
Q31288.175
95-th percentile2671.25
Maximum4536.9
Range4479.5
Interquartile range (IQR)714.325

Descriptive statistics

Standard deviation707.74153
Coefficient of variation (CV)0.66471782
Kurtosis2.2918955
Mean1064.7248
Median Absolute Deviation (MAD)341.65
Skewness1.5062292
Sum4371759.9
Variance500898.07
MonotonicityNot monotonic
2024-04-01T18:18:14.233510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573.8 4
 
0.1%
613.3 4
 
0.1%
434.3 4
 
0.1%
334.8 4
 
0.1%
466.3 3
 
0.1%
800.4 3
 
0.1%
881.5 3
 
0.1%
311.1 3
 
0.1%
959.6 3
 
0.1%
803.1 3
 
0.1%
Other values (3673) 4072
98.9%
(Missing) 10
 
0.2%
ValueCountFrequency (%)
57.4 1
< 0.1%
67.2 1
< 0.1%
73.4 1
< 0.1%
85.5 1
< 0.1%
88.5 1
< 0.1%
90.7 1
< 0.1%
94.2 1
< 0.1%
100.1 1
< 0.1%
102 1
< 0.1%
103.8 1
< 0.1%
ValueCountFrequency (%)
4536.9 1
< 0.1%
4534.5 1
< 0.1%
4206 1
< 0.1%
4155.5 1
< 0.1%
4144.4 1
< 0.1%
4121.3 1
< 0.1%
3947.1 1
< 0.1%
3919.1 1
< 0.1%
3896.1 1
< 0.1%
3886.3 1
< 0.1%

Oct-Dec
Real number (ℝ)

Distinct2389
Distinct (%)58.2%
Missing13
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean154.10049
Minimum0
Maximum1252.5
Zeros16
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size32.3 KiB
2024-04-01T18:18:14.401383image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.91
Q134.2
median98.2
Q3213.5
95-th percentile505.28
Maximum1252.5
Range1252.5
Interquartile range (IQR)179.3

Descriptive statistics

Standard deviation166.94266
Coefficient of variation (CV)1.0833364
Kurtosis4.567565
Mean154.10049
Median Absolute Deviation (MAD)76.3
Skewness1.9051952
Sum632274.3
Variance27869.852
MonotonicityNot monotonic
2024-04-01T18:18:14.575768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
0.4%
0.1 15
 
0.4%
0.5 13
 
0.3%
0.6 12
 
0.3%
0.7 11
 
0.3%
0.4 9
 
0.2%
0.2 9
 
0.2%
1.1 9
 
0.2%
7.1 9
 
0.2%
4.9 9
 
0.2%
Other values (2379) 3991
97.0%
(Missing) 13
 
0.3%
ValueCountFrequency (%)
0 16
0.4%
0.1 15
0.4%
0.2 9
0.2%
0.3 6
 
0.1%
0.4 9
0.2%
0.5 13
0.3%
0.6 12
0.3%
0.7 11
0.3%
0.8 9
0.2%
0.9 5
 
0.1%
ValueCountFrequency (%)
1252.5 1
< 0.1%
1158.9 1
< 0.1%
1152.9 1
< 0.1%
1133.4 1
< 0.1%
1044.5 1
< 0.1%
1037.7 1
< 0.1%
1021 1
< 0.1%
997.6 1
< 0.1%
980.3 1
< 0.1%
978.8 1
< 0.1%

Interactions

2024-04-01T18:17:54.370306image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:48.926997image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:52.878876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:56.756241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:00.665625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:04.567084image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:08.328346image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:11.986139image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:16.033128image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:19.705309image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2024-04-01T18:17:29.331611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
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2024-04-01T18:17:36.872514image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:41.247168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:45.308181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:49.245026image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:52.964315image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:57.006356image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:51.620173image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:55.391831image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:59.337391image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:03.326792image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:07.000208image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:10.763629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:14.755400image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:18.524732image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:22.140097image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:25.956353image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:29.525298image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:33.276032image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:37.071018image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:41.473734image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:45.536652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:49.463672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:53.157698image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:57.212119image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:51.831452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:55.607650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:59.548158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:03.537767image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:07.324519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:10.958865image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:14.967988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:18.721524image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:22.336523image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:26.156797image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:29.722533image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:33.473357image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:37.275496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:41.729336image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:45.742737image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:49.667801image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:53.364116image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:57.407148image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:52.044626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:55.824430image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:59.761468image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:03.753544image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:07.522493image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:11.172940image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:15.180001image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:18.933383image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:22.546891image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:26.357253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:29.920528image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:33.680369image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:37.487984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:41.987200image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:45.961118image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:49.874315image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:53.559372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:57.624875image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:52.257704image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:56.034491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:00.015296image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:03.962489image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:07.734731image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:11.392000image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:15.405970image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:19.129822image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:22.771289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:26.566740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:30.249237image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:33.902258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:37.907768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:42.216178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:46.177332image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:50.093178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:53.764745image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:57.847857image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:52.468372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:56.362881image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:00.242227image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:04.172694image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:07.952645image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:11.604058image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:15.620537image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:19.326153image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:22.981613image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:26.783975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:30.453887image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:34.115645image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:38.146375image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:42.427561image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:46.398322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:50.310584image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:53.979388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:58.039304image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:52.667947image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:16:56.558811image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:00.454531image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:04.362986image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:08.129934image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:11.801914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:15.815785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:19.508510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:23.164238image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:26.968406image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:30.631751image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:34.304653image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:38.349714image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:42.618106image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:46.582223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:50.505280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-04-01T18:17:54.151939image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Missing values

2024-04-01T18:17:58.358116image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-01T18:17:58.929327image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

SUBDIVISIONYEARJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECANNUALJan-FebMar-MayJun-SepOct-Dec
0ANDAMAN & NICOBAR ISLANDS190149.287.129.22.3528.8517.5365.1481.1332.6388.5558.233.63373.2136.3560.31696.3980.3
1ANDAMAN & NICOBAR ISLANDS19020.0159.812.20.0446.1537.1228.9753.7666.2197.2359.0160.53520.7159.8458.32185.9716.7
2ANDAMAN & NICOBAR ISLANDS190312.7144.00.01.0235.1479.9728.4326.7339.0181.2284.4225.02957.4156.7236.11874.0690.6
3ANDAMAN & NICOBAR ISLANDS19049.414.70.0202.4304.5495.1502.0160.1820.4222.2308.740.13079.624.1506.91977.6571.0
4ANDAMAN & NICOBAR ISLANDS19051.30.03.326.9279.5628.7368.7330.5297.0260.725.4344.72566.71.3309.71624.9630.8
5ANDAMAN & NICOBAR ISLANDS190636.60.00.00.0556.1733.3247.7320.5164.3267.8128.979.22534.436.6556.11465.8475.9
6ANDAMAN & NICOBAR ISLANDS1907110.70.0113.321.6616.3305.2443.9377.6200.4264.4648.9245.63347.9110.7751.21327.11158.9
7ANDAMAN & NICOBAR ISLANDS190820.985.10.029.0562.0693.6481.4699.9428.8170.7208.1196.93576.4106.0591.02303.7575.7
8ANDAMAN & NICOBAR ISLANDS191026.622.7206.389.3224.5472.7264.3337.4626.6208.2267.3153.52899.449.3520.11701.0629.0
9ANDAMAN & NICOBAR ISLANDS19110.08.40.0122.5327.3649.0253.0187.1464.5333.894.5247.12687.28.4449.81553.6675.4
SUBDIVISIONYEARJANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDECANNUALJan-FebMar-MayJun-SepOct-Dec
4106LAKSHADWEEP200620.10.033.00.3327.9286.9172.3150.7318.5119.1158.910.91598.620.1361.2928.4288.9
4107LAKSHADWEEP20072.54.20.222.2166.2573.4427.4294.7457.5256.147.6109.62361.66.7188.61753.0413.3
4108LAKSHADWEEP20085.519.8120.715.8180.4254.6363.9206.6108.9252.967.6130.11726.825.3316.9934.0450.6
4109LAKSHADWEEP20094.71.50.118.1162.1401.2266.4185.0145.187.4166.2132.31570.16.2180.3997.7385.9
4110LAKSHADWEEP201018.80.01.235.679.0318.9336.7335.1161.5155.4201.581.51725.218.8115.81152.2438.4
4111LAKSHADWEEP20115.12.83.185.9107.2153.6350.2254.0255.2117.4184.314.91533.77.9196.21013.0316.6
4112LAKSHADWEEP201219.20.11.676.821.2327.0231.5381.2179.8145.912.48.81405.519.399.61119.5167.1
4113LAKSHADWEEP201326.234.437.55.388.3426.2296.4154.4180.072.878.126.71426.360.6131.11057.0177.6
4114LAKSHADWEEP201453.216.14.414.957.4244.1116.1466.1132.2169.259.062.31395.069.376.7958.5290.5
4115LAKSHADWEEP20152.20.53.787.1133.1296.6257.5146.4160.4165.4231.0159.01642.92.7223.9860.9555.4